Static Taint Analysis Applied to Detecting Bad Programming Practices in Android

Autores
Winniczuk, Gonzalo; Yovine, Sergio
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Frameworks and Application Programming Interfaces (API) usually come along with a set of guidelines that establish good programming practices in order to avoid pitfalls which could lead, at least, to bad user experiences, and at most, to program crashes. Most often than not, such guidelines are not at all enforced by IDEs. This work investigates whether static taint analysis could be effectively used for automatically detecting bad programming patterns in Android applications. It presents the implemented tool, called CheckDroid, together with the preliminary experimental evaluation carried out.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/66161
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/66161
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Static Taint Analysis Applied to Detecting Bad Programming Practices in AndroidWinniczuk, GonzaloYovine, SergioCiencias InformáticasAndroidprogramming recommendationsstatic analysistaint analysisFrameworks and Application Programming Interfaces (API) usually come along with a set of guidelines that establish good programming practices in order to avoid pitfalls which could lead, at least, to bad user experiences, and at most, to program crashes. Most often than not, such guidelines are not at all enforced by IDEs. This work investigates whether static taint analysis could be effectively used for automatically detecting bad programming patterns in Android applications. It presents the implemented tool, called CheckDroid, together with the preliminary experimental evaluation carried out.Sociedad Argentina de Informática e Investigación Operativa2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf25-31http://sedici.unlp.edu.ar/handle/10915/66161enginfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/ASSE/asse-04.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7593info:eu-repo/semantics/reference/hdl/10915/135208info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:09:50Zoai:sedici.unlp.edu.ar:10915/66161Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:09:50.377SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
spellingShingle Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
Winniczuk, Gonzalo
Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
title_short Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_full Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_fullStr Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_full_unstemmed Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
title_sort Static Taint Analysis Applied to Detecting Bad Programming Practices in Android
dc.creator.none.fl_str_mv Winniczuk, Gonzalo
Yovine, Sergio
author Winniczuk, Gonzalo
author_facet Winniczuk, Gonzalo
Yovine, Sergio
author_role author
author2 Yovine, Sergio
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
topic Ciencias Informáticas
Android
programming recommendations
static analysis
taint analysis
dc.description.none.fl_txt_mv Frameworks and Application Programming Interfaces (API) usually come along with a set of guidelines that establish good programming practices in order to avoid pitfalls which could lead, at least, to bad user experiences, and at most, to program crashes. Most often than not, such guidelines are not at all enforced by IDEs. This work investigates whether static taint analysis could be effectively used for automatically detecting bad programming patterns in Android applications. It presents the implemented tool, called CheckDroid, together with the preliminary experimental evaluation carried out.
Sociedad Argentina de Informática e Investigación Operativa
description Frameworks and Application Programming Interfaces (API) usually come along with a set of guidelines that establish good programming practices in order to avoid pitfalls which could lead, at least, to bad user experiences, and at most, to program crashes. Most often than not, such guidelines are not at all enforced by IDEs. This work investigates whether static taint analysis could be effectively used for automatically detecting bad programming patterns in Android applications. It presents the implemented tool, called CheckDroid, together with the preliminary experimental evaluation carried out.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/66161
url http://sedici.unlp.edu.ar/handle/10915/66161
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/ASSE/asse-04.pdf
info:eu-repo/semantics/altIdentifier/issn/2451-7593
info:eu-repo/semantics/reference/hdl/10915/135208
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/4.0/
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.format.none.fl_str_mv application/pdf
25-31
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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